Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Mathematical Methods for Neural Network Analysis and Design
Mathematical Methods for Neural Network Analysis and Design
Neural Computation
Neural fraud detection in credit card operations
IEEE Transactions on Neural Networks
A nonlinear discriminant algorithm for feature extraction and data classification
IEEE Transactions on Neural Networks
Natural Gradient Learning in NLDA Networks
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
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In Non Linear Discriminant Analysis (NLDA) an MLP like architecture is used to minimize a Fisher's discriminant analysis criterion function. In this work we study the architecture selection problem for NLDA networks. We shall derive asymptotic distribution results for NLDA weights, from which Wald like tests can be derived. We also discuss how to use them to make decisions on unit relevance based on the acceptance or rejection of a certain null hypothesis.